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Identifying droughts affecting agriculture in Africa based on remote sensing time series between 2000–2016: rainfall anomalies and vegetation condition in the context of ENSO
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| Veröffentlicht in: | Remote sensing 9(2017), 8, Seite 831 |
|---|---|
| Personen und Körperschaften: | , , |
| Titel: | Identifying droughts affecting agriculture in Africa based on remote sensing time series between 2000–2016: rainfall anomalies and vegetation condition in the context of ENSO/ Karina Winkler, Ursula Gessner and Volker Hochschild |
| Format: | E-Book-Kapitel |
| Sprache: | Englisch |
| veröffentlicht: |
11 August 2017
|
| Gesamtaufnahme: |
: Remote sensing, 9(2017), 8, Seite 831
, volume:9 |
| Quelle: | Verbunddaten SWB Lizenzfreie Online-Ressourcen |
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| spelling | Winkler, Karina 1990- VerfasserIn (DE-588)1295223600 (DE-627)185215277X aut, Identifying droughts affecting agriculture in Africa based on remote sensing time series between 2000–2016 rainfall anomalies and vegetation condition in the context of ENSO Karina Winkler, Ursula Gessner and Volker Hochschild, 11 August 2017, 1 Online-Ressource Diagramme, Karten, 27, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Literaturverzeichnis: Seite 24-27, Geßner, Ursula 1978- VerfasserIn (DE-588)14398408X (DE-627)704665433 (DE-576)340171480 aut, Hochschild, Volker VerfasserIn (DE-588)1047549123 (DE-627)778541436 (DE-576)174814526 aut, Enthalten in Remote sensing Basel : MDPI, 2009 9(2017), 8, Seite 831 Online-Ressource (DE-627)608937916 (DE-600)2513863-7 (DE-576)310882532 2072-4292 nnns, volume:9 year:2017 number:8 pages:831 extent:27, http://dx.doi.org/10.3390/rs9080831 Resolving-System kostenfrei Volltext, http://dx.doi.org/10.3390/rs9080831 LFER, LFER 2018-04-10T00:00:00Z |
| spellingShingle | Winkler, Karina, Geßner, Ursula, Hochschild, Volker, Identifying droughts affecting agriculture in Africa based on remote sensing time series between 2000–2016: rainfall anomalies and vegetation condition in the context of ENSO |
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| title | Identifying droughts affecting agriculture in Africa based on remote sensing time series between 2000–2016: rainfall anomalies and vegetation condition in the context of ENSO |
| title_auth | Identifying droughts affecting agriculture in Africa based on remote sensing time series between 2000–2016 rainfall anomalies and vegetation condition in the context of ENSO |
| title_full | Identifying droughts affecting agriculture in Africa based on remote sensing time series between 2000–2016 rainfall anomalies and vegetation condition in the context of ENSO Karina Winkler, Ursula Gessner and Volker Hochschild |
| title_fullStr | Identifying droughts affecting agriculture in Africa based on remote sensing time series between 2000–2016 rainfall anomalies and vegetation condition in the context of ENSO Karina Winkler, Ursula Gessner and Volker Hochschild |
| title_full_unstemmed | Identifying droughts affecting agriculture in Africa based on remote sensing time series between 2000–2016 rainfall anomalies and vegetation condition in the context of ENSO Karina Winkler, Ursula Gessner and Volker Hochschild |
| title_in_hierarchy | Identifying droughts affecting agriculture in Africa based on remote sensing time series between 2000–2016: rainfall anomalies and vegetation condition in the context of ENSO / Karina Winkler, Ursula Gessner and Volker Hochschild, |
| title_short | Identifying droughts affecting agriculture in Africa based on remote sensing time series between 2000–2016 |
| title_sort | identifying droughts affecting agriculture in africa based on remote sensing time series between 2000 2016 rainfall anomalies and vegetation condition in the context of enso |
| title_sub | rainfall anomalies and vegetation condition in the context of ENSO |
| url | http://dx.doi.org/10.3390/rs9080831 |